Mangangka, Isri R. and Goonetilleke, Ashantha and Egodawatta, Prasanna and ., Soekarno and Supit, Cindy Jeane
(2014)
ANALYSIS OF TREATMENT PERFORMANCE OF CONSTRUCTED
STORMWATER WETLANDS WITH UTILISING A SIMPLIFIED
CONCEPTUAL MODEL.
In: The International Conference on Environmentally Friendly Civil Engineering Construction and Materials (EFCECM 2014), Manado - Indonesia, 13-14 November, Manado.
Abstract
Constructed wetlands are used to treat stormwater pollutants and reduce impacts no
downstream environment by attenuating peak discharge and reducing runoff volume. They can also
treat stormwater quality by removing pollutants through processes such as settling, filtration,
adsorption, and biological uptake. The hydrologic and hydraulic characteristics such as rainfall
depth and intensity, wetland area and bathymetry, inflow discharge, hydraulic retention time and
outlet structure are the most important parameters influencing treatment performance. A simplified
conceptual model to replicate hydraulic processes of a constructed wetland has been developed. The
model is based on conceptual approaches using empirical mathematical equations to represent water
movement through interlinked storage of wetland inlet pond and its cells via inlet/outlet structures,
and estimation loss rates due to percolation and evapotranspiration. The model has been calibrated
and validated using recorded data from a monitored constructed wetland. The model enables to
evaluate the fluctuation of stormwater in the wetland during the storm event and predict the
retention time.
Water quality treatment process in a wetland has also been evaluated in this study. The
evaluation involved water quality analysis to a number of water samples from a monitored
constructed stormwater wetland, univariate, bivariate and multivariate statistical analysis including
Principal Component Analysis (PCA) and development of Partial Least Square (PLS) model. The
water quality parameters which have been evaluated in this study were Total Suspended Solid
(TSS), Total Nitrogen (TN) and Total Phosphorus (TP). The analysis results show that rainfall
intensity does not influence the treatment performance. The results also show that more rainfall
depth and runoff volume decrease the treatment performance.
Prior to develop the PLS models the dataset was normalized and transformed using principal
component analysis (PCA) in order to increase the efficiency of the model. The developed PLS
models have been calibrated and validated using cross validation procedure. The calibration plots
show that the developed PLS models are adequate to be used for prediction.
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